offer 报表数据分析示例

数据信息：

Unnamed: 0 offerid sourceName affiliateId clickCount installs

0 0 21059 Clickorbits 10110006 705895 3785

1 1 1818 Mobavenue 10110080 9209 3124

2 2 1817 Mobavenue 10110080 4021 1

3 3 16493 A-Scale.IO 10110006 4651015 695

4 4 21048 A-Flyfunads-C 10110006 0 1321

5 5 18297 XYads-ID 10110006 7451168 2954

6 6 18676 A-Adaction 10110014 16421 13071

7 7 12078 A-Advolt 10110080 3335 0

8 8 12382 A-NSG Media 10110080 3918 1

9 9 1625 Mobavenue 10110006 1954129 2775

10 10 20630 comemobile 10110006 0 0

11 11 20169 A-Collectcent 10110006 5452751 3426

12 12 18379 Mobavenue 10110080 30705 26637

13 13 20698 A-Mobisummer-C 10110006 28274 108

14 14 4702 A-Justdo 10110006 16053001 22456

15 15 6987 A-Advolt 10110006 5543597 4552

16 16 12072 D-Nira 10110080 31776 27680

17 17 2022 A-AppMontize 10110080 23475 20022

18 18 20038 A-Smartconnect 10110006 513361 62

19 19 1818 Mobavenue 10110006 8329336 1421

1、查看offer 报表的最高clickCount，最低clickCount，平均值和中位数；

python 复制代码

data = pd.read_csv(filename)
data['clickCount'].max()
data['clickCount'].min()
data['clickCount'].mean()
data['clickCount'].median()

2、查看offer 报表的最高clickCount和最低clickCount 的全部信息；

python 复制代码

data = pd.read_csv(filename)
data.sort_values('clickCount').head(1)           最小值
data.sort_values('clickCount').tail(1)           最大值
data[data['clickCount'] == data['clickCount'].max()]

3、获取installs 最高的2个 sourceName；

python 复制代码

data = pd.read_csv(filename)
result = data.groupby('sourceName')['installs'].sum().sort_values(ascending=False).head(2)

4 、获取installs 最高的1个affiliateId 值；

python 复制代码

data = pd.read_csv(filename)
result = data.groupby('affiliateId')['installs'].sum().nlargest(1)

5 、按affiliateId 值分组，统计每个affiliateId下offerid的个数；

python 复制代码

data = pd.read_csv(filename)
result = data.groupby('affiliateId')['offerid'].count()

affiliateId

10110006 12

10110014 1

10110080 7

6、查找 affiliateId=10110006 和clickCount< 150000,数据；

python 复制代码

data = pd.read_csv(filename)
result = data[(data['affiliateId'] == 10110006) & (data['clickCount'] < 150000)]



    Unnamed: 0  offerid      sourceName  affiliateId  clickCount  installs
4            4    21048   A-Flyfunads-C     10110006           0      1321
10          10    20630      comemobile     10110006           0         0
13          13    20698  A-Mobisummer-C     10110006       28274       108

7、查找 affiliateId=10110006 和clickCount> 150000,数据, 并按照clickCount排序；

python 复制代码

data = pd.read_csv(filename)
result = data[(data['affiliateId'] == 10110006) & (data['clickCount'] > 150000)].sort_values('clickCount',ascending=False)




Unnamed: 0  offerid      sourceName  affiliateId  clickCount  installs
14          14     4702        A-Justdo     10110006    16053001     22456
19          19     1818       Mobavenue     10110006     8329336      1421
5            5    18297        XYads-ID     10110006     7451168      2954
15          15     6987        A-Advolt     10110006     5543597      4552
11          11    20169   A-Collectcent     10110006     5452751      3426
3            3    16493      A-Scale.IO     10110006     4651015       695
9            9     1625       Mobavenue     10110006     1954129      2775
0            0    21059     Clickorbits     10110006      705895      3785
18          18    20038  A-Smartconnect     10110006      513361        62